Senior Associate - Data Architect

About the role

We are seeking an energetic and passionate Senior Data Architect to design and execute our company's modern data management strategy. As a key member of Enterprise Data team, you will collaborate with Data Product Owners, Data Scientists, Data Engineers, and end-users to reimagine, design, and build the next generation of cloud-based insurance solutions using cutting-edge technologies like AWS, APIs, and AI.

What You'll Do

• Design scalable and efficient Logical and Physical data models for enterprise data products storage solutions and lines of businesses
• Design operational and analytical data models
• Develop data management frameworks and standards to ensure data integrity, quality, and security
• Work closely with Data Product Managers, Value Stream architects, Data engineers to understand the business problems, desired outcomes using data strategy and translating these requirements into data solutions
• Create and maintain inventory and designs of current state data capabilities
• Ensure alignment of data models with end-to-end data architecture including performance tuning to adhere to SLAs
• Demonstrate experience as a change agent, successfully leading and implementing organizational change initiatives that drive transformation and improve business outcomes
• Identify and frame opportunities for consolidation / simplification of legacy technologies, data stores, and applications
• Build subject matter expertise to be able to answer business questions as well as support new initiatives from a data knowledge perspective
• Enforce data governance policies and procedures as part of the data model
• Stay up to date with the latest industry trends and technologies in data management
• Identify opportunities for improvement and innovation within the existing data infrastructure
• Ensure data solutions comply with relevant data privacy and security regulations
• Implement data security measures to protect sensitive information

What You'll Bring

• 5+ years of hands-on experience as a Data Modeler for large-scale enterprise solutions, with a strong focus on agile practices
• Deep understanding of modern data architecture, including experience with data lakes, data warehouses, data marts, relational and dimensional modeling, data quality, and master data management
• Strong background in Operational Data Stores, Dimensional Modeling, and supporting application data architecture
• Experience with Oracle, Postgres, MySQL, and understanding of best practice architectural concepts for relational data models
• Experience in designing, deploying, and evaluating tools, frameworks, and patterns for scalable data platforms
• Extensive experience with industry-leading data platform technologies such as Data Lake, Databricks, Snowflake
• Experience with database technologies for both structured and unstructured data, ensuring optimal storage and retrieval
• Extensive hands-on experience in creating STMs
• Proficient in cloud architecture and best practices, particularly with AWS Cloud tools such as Amazon RDS, Redshift, AWS DMS, AWS Glue, Amazon S3, AWS Lambda, and more
• Proficient in managing large datasets, cloud computing, open-source tools, and optimization techniques
• Expertise in overall solution architecture for data platforms built on the cloud
• Strong experience in data integration, data processing, data streaming, and message queuing techniques
• Familiarity with relevant code repository and project tools like GitHub, JIRA, Confluence
• Experience with Continuous Integration and Continuous Deployment (CI/CD) processes
• Detail-oriented with strong analytical, problem-solving, and organizational skills
• Excellent communication skills, capable of effectively conveying complex concepts both technical and business teams

Desired Skills

• Solid understanding of the insurance, wealth management or financial services industry
• Extensive hands-on development experience with Cloud (AWS, Azure) and Storage services are desirable
• Knowledge of machine learning pipelines and frameworks is a plus
• Experience supporting AI solutions with data product strategy and enabling solutions
• Bachelor's degree in computer science or an Engineering discipline
• Certification in data management (structure and unstructured), and/or cloud architecture or engineering a plus
• Certification in delivery methodologies such as Scaled Agile a plus

Pay

Salary Range: $124,000-$177,000. Overtime eligible: Exempt. Discretionary bonus eligible: Yes. Sales bonus eligible: No.

Schedule

Location Designation: Hybrid - 3 days per week